FREE-WEBINAR-April-11-2022

What do you all want to see covered in the next session?

If you're offering to demonstrate anything (a dangerous prospect), then let's go for broke. :)

Select one of the most effective strategies on WealthSignals, then download its trade history into a Trade History strategy type in WL and proceed to reverse engineer it.

Depending on how far you're taking the reverse engineering step, you might want to get the author's permission first. Perhaps Glitch would be willing to offer up a test case from WealthSignals (with permission of course).

The learning part of this involves employing the Performance Visualizers (e.g. Analysis Series, etc) to do the reverse engineering. I just want to see how a professional approaches this.

In addition, please offer suggestions on how the "chosen" WealthSignals solution could be improved based on the analysis given.

I don't think it's appropriate for us to do that, but it's an interesting idea. As the folks who run WealthSignals, I don't think the authors would appreciate us reverse engineering their strategies.

It would be better to maybe translate some other popular strategy from another language like perhaps Pine script or EasyLanguage?

QUOTE:
I don't think it's appropriate for us to do that, but it's an interesting idea.

Yes, there's probably a political issue here. It's the "reverse engineering" part that's troubling.

Perhaps we could amend the idea without the "reverse engineering" step. How about simply downloading the trade history of one of the WealthSignals strategies and putting it into a "Trade History" strategy of WL, then running some Performance Visualizers on it, and based on those results, offer up suggestions on how it might be improved.

And with the prospect of improving an existing WealthSignals strategy, some authors might be willing to offer up their cases for analysis and improvement. Ask them.

The goal here is to:
1) Show how to import a trade history from WealthSignals into WL.
2) Demonstrate some of the Performance Visualizers (e.g. Analysis Series)
3) Use those results to improve the strategy.

But we should probably leave the reverse engineering part out of it for political reasons.

QUOTE:
... translate some popular strategy from ... Pine script or EasyLanguage ...

The main problem with this approach is that many of these third-party strategies are not very good. In addition, I want to see how a Trade History strategy (for an excellent strategy) performs with WL visualizers.

I suggested a similar idea to team but from a different angle.
Import the trades from your broker or from the top traders/hedge funds etcetera
and let WL run through it and find a fitting algorithm.
That could help a lot of proprietary traders to scan for possible trade opportunities.

However, I think it is an overkill for a Wealth-Lab introduction webinar.

QUOTE:
... it is an overkill for a Wealth-Lab introduction webinar.

For tutorial videos, I would simply record some well presented videos new users can play on demand. Create a tutorial video library.

But for hosted webinars where real-time questions can be raised, let's dig into the more "creative" stuff that's not in the manual. I want to learn something new.

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You know, you could just take the new release WL videos and edit/reorganize them into instructional videos on specifics topics for a tutorial video library.

1) Use a Trade History strategy to realize a trading problem.
2) Design a custom metric to characterize the problem better.
3) Employ the "SetPositionMetric(string metric, double value)" call to record this custom metric for each trading Transaction.
4) Characterize this custom metric with the Analysis Series or Position Metrics visualizer to diagnose the best fix.

Yes, this isn't an introductory demo. Perhaps my point is to offer some "creative" out-of-the-box webinars for some of us. I want to learn something new from the experts. :)

Maybe this could be a "future" webinar for creative types. Or even a blog post.

I would be interested in a webinar about the NeuroLab extension. I know this is a deep topic but it seems you can use it in a sound way without having a professional background in machine learning / neural networks. Where are the potentials and pitfalls using this 'drag and drop' extensions?

Hello WLD Team,
How about an example/tutorial on the Ichimoku Cloud Trading Strategy showing off the power of WLD?

Since the IchimokuCloud has its own extension – Could the experts create an out of the box trading system that is pretty much open source vs. reverse engineering someone’s algo for subscription trading signals. (Although, great idea from superticker!)

Ichimoku seems to be a popular indicator/trading strategy on trading channels/other platforms. Personally, have not used any of WLD capabilities on the strategy, back testing entry/exits or using WLD in C# code as a market screener tool for Ichumoku trading setups.

My thoughts on a Tutorial.
1. Create a New Building Block Strategy. (Blank Chart)
2. Plot all the Ichumoku indicator components / forming the Clouds.
3. Develop the Trading Rules - Buy/Sell building block trading rules.
-Buy/Sell criteria was found on the internet…
Buy Signal Recap:
 Price is above the lowest line of the cloud (bullish bias)
 Price moves below the Base Line (pullback)
 Price Moves above the Conversion Line (upturn)

Sell Signal Recap:
 Price is below the highest line of the cloud (bearish bias)
 Price moves above the Base Line (bounce)
 Price moves below the Conversion Line (downturn)

4. Show the strategy running on a streaming chart.
5. Back testing example - showing how good the strategy really is and/or how WLD can optimize the parameters to give you a higher winrate/profit.

*** An additional bonus would be to push this building block strategy to C# code and then show an example of how to edit the code to create a Stock Screener that looks for the setups / buying signals for the trading strategy. (I know that would require modifying the pushed code to develop the screener)

*Screener criteria found on the internet…
Ichimoku Uptrend with Close above Base Line
- This scan starts with a base of stocks that are averaging at least $10 in price and 100,000 daily volume over the last 60 days. Stocks are classified in an uptrend as long as Span A is above Span B and the Close is above Span B. A breakout within this uptrend occurs when price moves above the Base Line.
- [type = stock] AND [country = US]
- AND [Daily SMA(60,Daily Volume) > 100000]
- AND [Daily SMA(60,Daily Close) > 10]
-
- AND [Daily Close > Daily Ichimoku Span B(9,26,52)]
- AND [Daily Ichimoku Span A(9,26,52) > Daily Ichimoku Span B(9,26,52)]
- AND [Daily Close x Daily Ichimoku Base Line(9,26,52)]
Ichimoku Downtrend with Close below Base Line
- This scan starts with a base of stocks that are averaging at least $10 in price and 100,000 daily volume over the last 60 days. Stocks are classified in a downtrend as long as Span A is below Span B and the Close is below Span A. A continuation of this downtrend could be starting when price crosses below the Base Line.
- [type = stock] AND [country = US]
- AND [Daily SMA(60,Daily Volume) > 100000]
- AND [Daily SMA(60,Daily Close) > 10]
-
- AND [Daily Close < Daily Ichimoku Span A(9,26,52)]
- AND [Daily Ichimoku Span A(9,26,52) < Daily Ichimoku Span B(9,26,52)]
- AND [Daily Ichimoku Base Line(9,26,52) x Daily Close]


This is a lot to cover if selected. Possibly best as a small series broken up in parts.